Dataset statistics
| Number of variables | 17 |
|---|---|
| Number of observations | 17544 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 2.3 MiB |
| Average record size in memory | 136.0 B |
Variable types
| NUM | 11 |
|---|---|
| BOOL | 3 |
| CAT | 2 |
| DATE | 1 |
dteday has a high cardinality: 731 distinct values | High cardinality |
atemp is highly correlated with temp | High correlation |
temp is highly correlated with atemp | High correlation |
cnt is highly correlated with registered | High correlation |
registered is highly correlated with cnt | High correlation |
dteday is uniformly distributed | Uniform |
datetime has unique values | Unique |
hr has 731 (4.2%) zeros | Zeros |
weekday has 2520 (14.4%) zeros | Zeros |
windspeed has 2183 (12.4%) zeros | Zeros |
casual has 1623 (9.3%) zeros | Zeros |
Reproduction
| Analysis started | 2020-11-22 22:15:19.903194 |
|---|---|
| Analysis finished | 2020-11-22 22:15:59.533228 |
| Duration | 39.63 seconds |
| Software version | pandas-profiling v2.9.0 |
| Download configuration | config.yaml |